TensorFlow vs NumPy vs Pure Python: Performance Comparison

How much faster does the application run when implemented with NumPy instead of pure Python? The purpose of this article is to begin to explore the improvements you can achieve by using these libraries. Python has a design philosophy that stresses allowing programmers to express concepts readably and in fewer lines of code. This philosophy makes the language suitable for a diverse set of use cases: simple scripts for web, large web applications (like YouTube), scripting language for other platforms (like Blender and Autodesk's Maya), and scientific applications in several areas, such as astronomy, meteorology, physics, and data science. It is technically possible to implement scalar and matrix calculations using Python lists.